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Title: adaptivebeamforming with respect to lms algorithm
Page Link: adaptivebeamforming with respect to lms algorithm -
Posted By: 2107
Created at: Sunday 16th of May 2010 09:46:53 AM
ppt dct lms, how to find the weights for lms algorithm in beamforming, cfs suntrust, lms evaluation, allied cdl, vhdl lms algorithm, lms filter applet,

HI pals,

am currently doing project work related to adaptive beam forming with respect to lms algorithm for weight calculation... i want any pdf and ppt file which helpfull to me to complete my project. plz help me out.. ....etc

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Title: ppt slides on acoustic echo cancellation using lms algorithm only
Page Link: ppt slides on acoustic echo cancellation using lms algorithm only -
Posted By:
Created at: Wednesday 23rd of January 2013 06:59:34 PM
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i want ppt on lms based echo cancellation system. can u provide me within today ....etc

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Title: implementation of lms algorithm for adaptive beamforming matlab code
Page Link: implementation of lms algorithm for adaptive beamforming matlab code -
Posted By:
Created at: Wednesday 07th of January 2015 12:50:31 AM
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sir, iam final year student working on adaptive beam forming.can u please give us matlab code
....etc

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Title: A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White
Page Link: A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White -
Posted By: smart paper boy
Created at: Friday 19th of August 2011 01:07:46 PM
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A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White Gaussian Noise

ABSTRACT
A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. Rather than using a fixed convergence parameter μ, this approach utilizes a time-varying LMS parameter μ_n. This technique leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter LMS algorithm. The algorithm has been tested for noise reduction and estimation in ....etc

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Title: channel equalization design based on wiener filter and lms algorithm
Page Link: channel equalization design based on wiener filter and lms algorithm -
Posted By:
Created at: Saturday 14th of May 2016 03:41:36 PM
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it is very useful for any distortion to get it from the original signal to avoid jamming so we use both wiener filter and lms so i need to study both of two cases to see what is new
it is very useful for any distortion to get it from the original signal to avoid jamming so we use both wiener filter and lms so i need to study both of two cases to see what is new ....etc

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Title: lms equalizer algorithm vhdl
Page Link: lms equalizer algorithm vhdl -
Posted By:
Created at: Tuesday 13th of November 2012 09:16:55 PM
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request: i need material about lms equalizer
requirement:vhdl codes ....etc

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Title: flowchart of lms algorithm
Page Link: flowchart of lms algorithm -
Posted By:
Created at: Wednesday 07th of May 2014 01:12:24 AM
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I want to know about the flow chart of lms algorithm where the impulse response is used to adjust filter coefficients and is the ratio of cross correlation and auto correlation ....etc

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Title: adaptive channel equalization using lms algorithm in matlab
Page Link: adaptive channel equalization using lms algorithm in matlab -
Posted By:
Created at: Sunday 02nd of December 2012 07:44:37 PM
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Dear sir/mam,
i want to matlab code for my project phase.
....etc

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Title: lms algorithm adaptive beamforming matlab code
Page Link: lms algorithm adaptive beamforming matlab code -
Posted By:
Created at: Sunday 27th of March 2016 03:01:34 AM
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I request you to send matlab code for lms algorithm .i will be very helpful for my project.Thank you. ....etc

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Title: equalization projects lms algorithm
Page Link: equalization projects lms algorithm -
Posted By:
Created at: Friday 05th of October 2012 08:21:14 AM
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In order to implement the adaptive equalizer, we need to generate a reference signal for the adaptive
algorithm. For the initial adaptation of the filter coefficients we need at the receiver to be able to
generate a replica of the transmitted data sequence. This known sequence is referred to as the
training sequence.
How can I do this? ....etc

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